Operational Integration
The leading manufacturers are integrating artificial intelligence into core manufacturing processes, customer service, quality control and business operations, transforming essential functions beyond isolated applications.
Lockheed Martin operated AI across defense and space applications through the HercFusion platform. This analyses data from flight times for almost 3 million C-130J Super Hercules military transport aircraft to predict maintenance needs. Each aircraft generates 3GB of data per flight time via 600 sensors, allowing predictive maintenance that shows a 3% increase in mission capacity and a 15% decrease in fuel usage.
GE Healthcare has integrated AI into clinical workflows. Their CareIntelect platform aggregates and summarises multimodal patient data to help clinicians at the point of care, improving patient outcomes and operational efficiency.
CATL deploys AI through operations, from predictive maintenance and supply chain optimization to automated quality inspection and customer service via chatbots and virtual assistants.
Aveva, a subsidiary of Schneider Electric, demonstrates operational integration with the AI Injection Hybrid Manufacturing Execution System (MES) launched in 2024. The solution combines edge-based sensor data with cloud-based AI analytics. It offers tangible benefits by providing setup recommendations, extraordinary notifications, and generative drill-down assistance to improve yield, quality, and energy efficiency. For example, Maple Leaf Foods reported a gross profit increase of 10-12% by applying advanced analytics to MES.
Siemens deploys AI for fault detection and quality optimization throughout the digital lighthouse factory that produces automation systems and industrial equipment. Their extended SECEYE solutions incorporate generative AI capabilities to create conversational interfaces that make maintenance operations more intuitive.
